Senior Principal AI Agent Engineer

Cogent Infotech Corporation

$195K — $265K *
Enterprise Technology
8 - 10 years of experience
Job Overview by Ladders

Qualifications

  • 10+ years of software engineering experience or equivalent expertise.
  • Hands-on experience with LLM-powered systems or autonomous workflows is essential.
  • Proficient in Python, automation tools, and Kubernetes.
  • Familiarity with agent orchestration frameworks and AI evaluation methodologies.
  • Strong grasp of scalable architecture and cloud-native practices.
  • Exceptional problem-solving abilities in dynamic tech settings.
  • Outstanding communication and collaboration skills with cross-functional teams.

Responsibilities

  • Design and implement AI-driven engineering workflows with large language models.
  • Guide and evaluate AI coding agents to enhance throughput and code quality.
  • Develop frameworks for testing and evaluating AI-generated outputs.
  • Optimize management of embeddings and memory strategies.
  • Create and maintain scalable orchestration workflows and AI integrations.
  • Collaborate with engineering and product teams to ensure secure, cloud-native solutions.
  • Establish engineering standards and best practices for AI agents.

Benefits

  • Opportunity to shape the future of intelligent systems.
  • Work in a hands-on, innovative environment focused on cutting-edge technology.
  • Engage with a collaborative team culture that values cross-functional collaboration.
  • Contribute to transformative projects in software engineering and AI development.
Full Job Description
Job Title: Senior Principal AI Agent Engineer
Experience: 10+ Years
Employment Type: Full-time
Work Location: Austin, TX | Onsite


Job Summary
This opportunity is with one of Cogent Infotech's clients in the enterprise technology domain.
We are seeking a Senior Principal AI Agent Engineer to help shape the future of intelligent systems and build AI-native engineering platforms and autonomous development workflows. This role focuses on designing scalable, production-ready AI solutions in which large language models can reason, use tools, and automate software engineering tasks.
The ideal candidate combines strong software engineering fundamentals with hands-on experience building agentic AI systems, orchestration workflows, and AI-assisted developer tooling.

Responsibilities
  • Design and build AI-driven engineering workflows using large language models and autonomous agents.
  • Guide, monitor, and validate AI coding agents to improve engineering throughput and code quality.
  • Develop testing, evaluation, and guardrail frameworks for AI-generated output.
  • Optimize context management using embeddings, retrieval, and memory strategies.
  • Build and maintain scalable orchestration workflows, tool-calling integrations, and retrieval-augmented generation solutions.
  • Partner with engineering and product teams to deliver secure, reliable, and cloud-native AI solutions.
  • Define engineering standards and best practices for production AI agents and autonomous workflows.

Essential Qualifications
  • 10+ years of software engineering experience or equivalent demonstrated expertise.
  • Hands-on experience building LLM-powered systems, production AI agents, or autonomous workflows is required.
  • Strong programming skills in Python, automation tooling, and Kubernetes.
  • Experience with agent orchestration frameworks, tool calling, RAG, embeddings, memory strategies, or AI evaluation frameworks.
  • Strong understanding of scalable software architecture, cloud-native development, testing, security, and production reliability.
  • Exceptional problem-solving skills and the ability to adapt in fast-moving technical environments.
  • Strong communication and collaboration skills across technical and cross-functional teams.

Compensation
USD 195k to USD 265k per year. Actual compensation may vary based on experience, skills, location, and other relevant factors.

Join Us
Join our Agentic AI Software Engineering Team and help build intelligent, secure, and production-ready systems that transform how software is designed, developed, tested, and delivered.

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